Interview users through decision-tree questioning to resolve plan ambiguities.
npx skills add https://github.com/Levezze/devkit --skill grill-me-levezze
Please help me install this Agent Skill. Skill: grill-me Source: https://github.com/Levezze/devkit/tree/main/skills/grill-me Command: npx skills add https://github.com/Levezze/devkit --skill grill-me-levezze
It resolves ambiguous plans by pushing you to make every decision explicit until you and the user reach shared understanding.
Tell your AI: “Use the grill-me skill to interview me relentlessly about my plan until we resolve every decision branch into a shared, executable understanding.”
High-intent search queries and answers about installing and using this skill.
To stress-test system design and eliminate unclear requirements, use a relentless decision-tree interviewing approach that forces you to make every decision explicit until reaching a shared, executable understanding.
Yes, you can use a decision tree to resolve mismatched architecture assumptions by tracking each branch of a plan and driving iterative questioning until all dependencies between choices are explicitly resolved.
You grill someone about a product plan to expose missing requirements by applying iterative questioning that walks each decision branch until mutual understanding is reached and gaps are identified.
Clarification interviewing works with existing codebase information by having the assistant explore relevant codebase data to answer questions automatically when the answers can be found there.
You need to use iterative questioning for system design planning whenever decision dependencies must be resolved through a decision tree, ensuring ambiguous plans become explicit, shared understandings.
The best way to align product and architecture plans before execution is to push for every decision to be made explicit through relentless decision-tree interviewing, eliminating mismatched assumptions.
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